Follow the smart money — 13F flows and insider clusters
See what funds and insiders are actually accumulating or dumping, and position ahead of the crowd.
The problem
13F and Form 4 data is public, but raw — scattered across millions of filings. Spotting a conviction cluster buy or a manager rotating into a name before it's a crowded trade takes infrastructure most desks don't have.
How Valuein does it
- 1
See the flow
get_smart_money_flow surfaces the net institutional flow signal per name; get_institutional_holdings and get_top_holders show who holds and who's adding.
- 2
Read the insiders
get_insider_transactions (Form 3/4/5) and get_insider_sentiment reveal cluster buys and the aggregate buy/sell ratio — the highest-conviction signal there is.
- 3
Watch the activists
get_blockholders flags SC 13D/13G stakes — including the going-active transition that often precedes a catalyst.
In practice
You ask
Which institutions added to this name last quarter, and have any insiders been buying in clusters?
Valuein returns
3 managers added (net +X% of float); 2 insiders bought within 10 days of each other (cluster). One new 13G filer crossed 5%. All cited to the underlying 13F/Form 4.
The outcome
You ride institutional and insider conviction into a name before the flow is obvious — backed by the actual filings.
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Frequently asked
What's in the smart-money dataset?
~78M rows: insider Form 3/4/5 transactions, 13F institutional holdings, and SC 13D/13G beneficial-ownership stakes — the full insider + institutional picture.
Which tier includes it?
The smart-money dataset is an Institutional-tier feature (or available per-call via pay-as-you-go at $5/entity). It is not included in Pro.
Related use cases
Do this with your own data — free.
The free S&P 500 tier needs no credit card. One token works across MCP, the Python SDK, and the Workspace.